Exploring the dataset of Ascent 5 to derive actionable insights and formulate strategic recommendations for addressing their business challenges in the telecommunications sales sector. 

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Diving deeper into the revenue data of Speedline Wheels to create a comprehensive dashboard showcasing key performance indicators (KPIs). Assiting management in addressing the challenges associated with enhancing their customer relationship management (CRM) system.

Delve into the relationship between socioeconomic factors and cancer rates across U.S. states.

This project features meticulous data cleaning of over 3000 rows of data in Python and sophisticated visualizations in Tableau to explore how economic and healthcare variables impact cancer incidence. 

Dive into mySQL-based project analyzing 2022 layoffs data. Focused on meticulous data cleaning and exploratory analysis to uncover trends and correlations in layoffs across industries and locations. Discover key insights about industry challenges and economic impacts through structured SQL queries.

Delve into crime patterns across Los Angeles using LAPD data. I explore crime timings, victim demographics, and hotspot areas to optimize resource allocation. Key insights include unexpected midday crime peaks and prevalent night-time offenses.

In this project, I explore the evolution of baby names in the U.S. using SQL and datasets from the U.S. Social Security Administration of over 12650 rows.

I uncover trends, timeless names, and the cultural influences on naming. This analysis provides a detailed look at naming trends over the past century.